Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2015/paper/research/116> ?p ?o. }
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- 116 creator amol-mittal.
- 116 creator craig-a-knoblock.
- 116 creator pedro-szekely.
- 116 creator ramnandan-krishnamurthy.
- 116 type InProceedings.
- 116 label "Assigning Semantic Labels to Data Sources".
- 116 sameAs 116.
- 116 abstract "There is a huge demand to be able to integrate heterogeneous data sources, which requires mapping the attributes of a source to the concepts and relationships defined in a domain ontology. In this paper, we present a new approach to the problem of identifying these mappings, which we call semantic labeling. Previous approaches map each data value individually, typically by learning a model based on features extracted from the data using supervised machine learning techniques. Our approach differs from existing approaches in that we take a holistic view of the data values corresponding to a semantic label and use techniques that treat this data collectively, which makes it possible to capture characteristic properties of the values associated with a semantic label as a whole. Our approach supports both textual and numeric data and proposes the top-k semantic labels along with their associated confidence scores. Our experiments show that the approach has higher label prediction accuracy, has lower time complexity, and is more scalable than existing systems.".
- 116 hasAuthorList authorList.
- 116 isPartOf proceedings.
- 116 keyword "Semantic Web".
- 116 keyword "Semantic labeling".
- 116 keyword "Source modeling".
- 116 title "Assigning Semantic Labels to Data Sources".